#
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
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#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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from npu_bridge.npu_init import *
import tensorflow as tf

from nets.resnet_v1 import resnet_v1_101, resnet_arg_scope

_RGB_MEAN = [123.68, 116.78, 103.94]

def endpoints(image, is_training):
    if image.get_shape().ndims != 4:
        raise ValueError('Input must be of size [batch, height, width, 3]')

    image = image - tf.constant(_RGB_MEAN, dtype=tf.float32, shape=(1,1,1,3))

    with tf.contrib.slim.arg_scope(resnet_arg_scope(batch_norm_decay=0.9, weight_decay=0.0)):
        _, endpoints = resnet_v1_101(image, num_classes=None, is_training=is_training, global_pool=True)

    endpoints['model_output'] = endpoints['global_pool'] = tf.reduce_mean(
        endpoints['resnet_v1_101/block4'], [1, 2], name='pool5', keep_dims=False)

    return endpoints, 'resnet_v1_101'

